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Storage Access Optimization with Virtual Machine Migration During Execution of Parallel Data Processing on a Virtual Machine PC Cluster

机译:在虚拟机PC群集上执行并行数据处理期间,通过虚拟机迁移实现存储访问优化

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We have constructed a virtual machine PC cluster that uses a virtual machine as worker nodes, and proposed a method that acquires insufficient resources dynamically from cloud computing systems while basic computation is performed on its own local clusters. Virtual machine environments enable us to manage computer resources flexibly and make use of migration. For data access, we have used iSCSI protocol which supports to access data through IP networks, and migrated virtual machine to cloud where data is stored over a high latency network. We have confirmed that the execution time becomes shorter with the migration of virtual machines even the cost of migration is taken into account, compared with the case of accessing data over a network when an I/O-intensive application is executed.
机译:我们构建了一个使用虚拟机作为工作节点的虚拟机PC集群,并提出了一种方法,该方法可以在云计算系统上动态获取不足的资源,同时在其自己的本地集群上执行基本计算。虚拟机环境使我们能够灵活地管理计算机资源并利用迁移。对于数据访问,我们使用了支持通过IP网络访问数据的iSCSI协议,并将虚拟机迁移到了通过高延迟网络存储数据的云。我们已经确认,与执行I / O密集型应用程序时通过网络访问数据的情况相比,即使考虑了迁移成本,随着虚拟机的迁移,执行时间也会缩短。

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